Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Esmerlyn Valdez 10 games | PIT vs CHC@PIT | TB | 1.5 | +135 | 1.8 | +0.3 | 2/5 | -1.8 | 36 | F | 5.0 | WIN | LOSS | |
| 752 | MLB | Framber Valdez 9 games | DET vs KCR@DET | K | 3.5 | -375 | 4.2 | +0.7 | 2/5 | -0.6 | 36 | F | 4.0 | WIN | LOSS | |
| 753 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.1 | 36 | F | 0.0 | LOSS | WIN | |
| 754 | MLB | Ivan Herrera 10 games | STL vs CIN@STL | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0.3 | 36 | F | 1.0 | WIN | LOSS | |
| 755 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | +0.5 | 36 | F | 0.0 | LOSS | WIN | |
| 756 | MLB | Max Muncy 10 games | LAD vs LAD@NYM | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 0.0 | LOSS | WIN | |
| 757 | MLB | Ryan Jeffers 8 games | MIN vs Athletics@ | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0.3 | 36 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.2 | 36 | F | — | PENDING | PENDING | |
| 759 | MLB | Troy Johnston 10 games | COL vs COL@MIL | H | 0.5 | -103 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Walker Buehler 10 games | SD vs SDP@MIA | K | 3.5 | -140 | 3.8 | +0.3 | 3/5 | -1.6 | 36 | F | 7.0 | WIN | LOSS | |
| 761 | MLB | William Contreras 10 games | MIL vs COL@MIL | H | 0.5 | -300 | 0.6 | +0.1 | 2/5 | +0.5 | 36 | F | 1.0 | WIN | LOSS | |
| 762 | MLB | Braden Montgomery 10 games | CWS vs HOU@CHW | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 763 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | R | 1.5 | +900 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 764 | MLB | Cam Smith 10 games | HOU vs HOU@CHW | TB | 1.5 | +145 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Casey Schmitt 10 games | SF vs LAA@SFG | RBI | 1.5 | +475 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 766 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | RBI | 1.5 | +475 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 767 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 768 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | TB | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 769 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | H | 1.5 | +380 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 770 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Dominic Smith 10 games | ATL vs ATL@BAL | RBI | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 772 | MLB | Dominic Smith 10 games | ATL vs ATL@BAL | TB | 1.5 | +170 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 3.0 | WIN | LOSS | |
| 773 | MLB | Dylan Beavers 10 games | BAL vs ATL@BAL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Dylan Crews 10 games | WSH vs ARI@WSN | RBI | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Erick Fedde 10 games | CWS vs HOU@CHW | K | 4.5 | +280 | 3.6 | -0.9 | 1/5 | +0.8 | 35 | F | 2.0 | LOSS | WIN | |
| 776 | MLB | George Springer 10 games | TOR vs TOR@BOS | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 777 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@WSN | R | 1.5 | +800 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Jackson Holliday 10 games | BAL vs ATL@BAL | H | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Jackson Holliday 10 games | BAL vs ATL@BAL | TB | 1.5 | +230 | 1 | -0.5 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | James Outman 10 games | DET vs KCR@DET | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | James Outman 10 games | DET vs KCR@DET | TB | 1.5 | +230 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 782 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@PHI | RBI | 1.5 | +900 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 783 | MLB | JJ Bleday 10 games | CIN vs CIN@STL | TB | 1.5 | +130 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Jonny Deluca 10 games | TB vs CLE@TBR | R | 1.5 | +1500 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Jose Caballero 10 games | NYY vs NYY@PHI | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Jung Hoo Lee 10 games | SF vs LAA@SFG | RBI | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | — | PENDING | PENDING | |
| 787 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | H | 1.5 | +280 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | TB | 1.5 | +138 | 1.4 | -0.1 | 1/5 | +1.3 | 35 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Kyle Schwarber 10 games | PHI vs NYY@PHI | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 791 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Luis Lara 10 games | MIL vs COL@MIL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 793 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | TB | 1.5 | +190 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 4.0 | WIN | LOSS | |
| 794 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | RBI | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 795 | MLB | Oswald Peraza 10 games | LAA vs LAA@SFG | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.2 | 35 | F | — | PENDING | PENDING | |
| 796 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 797 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | H | 1.5 | +220 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 798 | MLB | Shane Baz 9 games | BAL vs ATL@BAL | K | 6.5 | +215 | 5.8 | -0.7 | 1/5 | +0.7 | 35 | F | 2.0 | LOSS | WIN | |
| 799 | MLB | Travis Bazzana 10 games | CLE vs CLE@TBR | H | 0.5 | -146 | 0.6 | +0.1 | 2/5 | -0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.